Meta just dropped LLaMA 4, and it’s not here to do autocomplete — it’s here to out-think, out-reason, and out-memory your entire toolchain. This isn’t your average "incremental update." This is a 𝟮𝟱𝟲𝗞-𝘁𝗼𝗸𝗲𝗻, 𝗙𝗹𝗮𝘀𝗵 𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝟮.𝟬, 𝗺𝘂𝗹𝘁𝗶-𝗺𝗼𝗱𝗮𝗹 𝗽𝗿𝗲𝗽𝗽𝗲𝗱, 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗲𝗮𝗯𝗹𝗲 𝗺𝗼𝗻𝘀𝘁𝗲𝗿 that can hold more context than your entire project backlog. 🔍 𝗪𝗵𝗮𝘁’𝘀 𝗨𝗻𝗱𝗲𝗿 𝘁𝗵𝗲 𝗛𝗼𝗼𝗱? 👉🏽𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿 𝗨𝗽𝗴𝗿𝗮𝗱𝗲𝘀: GQA (Grouped-Query Attention) for massive speed boosts Rotary embeddings for extended context comprehension Flash Attention v2: 2x faster, 50% less memory overhead 👉🏽𝗟𝗼𝗻𝗴 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 = 𝗟𝗲𝘀𝘀 𝗥𝗔𝗚: Say goodbye to overengineered retrieval systems. Just feed it a 400-page doc — it’ll still remember what you asked on page 3. 👉🏽𝗖𝗼𝗱𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴? On par with GPT-4 in HumanEval. Fine-tuned variants crush function-calling and structured JSON outputs. 👉🏽𝗠𝘂𝗹𝘁𝗶-𝗠𝗼𝗱𝗮𝗹𝗶𝘁...